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Lingxinpai Robot Dog V1.0
Course Overview
The Lingxinpai Robot Dog course uses the engaging quadruped Go2 and Lingxinpai as core kits for integrated AI and Python learning. Starting from AI fundamentals, students progress through image recognition, object detection, and voice interaction; through block-based and Python programming, they advance from remote control to code-driven motion and intelligent interaction. Projects include "Plant Guide," "Smart Feeder," "Security Patrol," and "Voice Companion." Graduates can design machine-dog applications with perception, decision-making, and interaction—becoming young engineers and creators with AI thinking.
Included Courses
Trial Lesson
Regular Course
Competency Goals
Self-Directed Learning
Real projects drive students to identify gaps, plan learning paths, use tools and resources, reflect, and adjust—moving from "being taught" to "learning on their own."
Independent Decision-Making
At open decision points, students gather information, weigh options, choose, and accept consequences with real feedback—building autonomous decision-making.
Self-Management
Long projects require coordinating tasks, time, materials, and progress—forming "plan → execute → check → adjust" habits.
Engineering Thinking
Under real hardware constraints, students complete needs analysis through test and iteration, trade off limited resources, troubleshoot, and optimize—understanding the systematic path from idea to reality.
Computational Thinking
Students decompose complex tasks, abstract models, design algorithm flows, and understand input–output logic—building "decompose → analyze → solve" habits.
Design Thinking
From real user needs through empathy, problem definition, ideation, and prototype testing—iterating solutions with technology in service of people.
Cultural Understanding
Explore cultural context of innovation, value of domestic technology in real scenarios, ethics and social impact—building confidence and responsibility.
Communication & Collaboration
Express views clearly, listen actively, divide work effectively, seek consensus in disagreement—achieving team results greater than the sum of parts.
Critical Thinking & Innovation
Question with evidence, examine problems from multiple angles, evaluate information and plans, improve and innovate on existing work—independent thinking habits.
Course Advantages
Hardware + Software Fusion
Tangible feedback turns passive learning into active exploration; students find optimal solutions under technical constraints and think systematically.
Project-Driven
One complete project per unit—students understand how AI works and solves problems by doing.
Systematic Understanding
From perception to decision-making—building a holistic framework for AI technology.
Learn–Apply Loop
Focus on transfer to real scenarios—a complete path from understanding to practice.
Classroom Showcase
Experience engaging classrooms and see kids grow
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📋 Sample Lessons (Trial)
1
Lesson 1: Canyon Treasure Hunt
Free trial
2
Lesson 2: Smart Brain
Free trial